About the Role

We are seeking a Senior Risk Analyst to support Enterprise Risk Management (ERM) activities within a global commercial insurance platform. This is a true risk generalist role, combining both quantitative and qualitative risk work across underwriting, claims, reserving, operational, financial, and strategic risk areas.

This position offers broad exposure across the business and the opportunity to contribute to capital oversight, risk governance, and data-driven risk analytics in a collaborative, high-performing environment.

Key Responsibilities

• Lead Root Cause Analyses (RCAs) across underwriting, claims, finance, IT, and operations

• Identify, assess, and document inherent, residual, and emerging risks and evaluate control effectiveness

• Support annual Top Risk Assessments and maintain enterprise risk registers

• Assist with ORSA documentation and regulatory reporting requirements

• Support scenario design, stress testing, and capital impact analysis

• Partner with Capital Management teams on RBC analysis, capital ratios, and drivers of change

• Conduct stop-loss, retention, and reinsurance analysis

• Perform stress testing and sensitivity analysis for catastrophe, operational, and loss experience scenarios

• Manage risk incidents and oversee remediation tracking

• Maintain loss event databases and support incident reporting processes

• Develop dashboards and reporting using Power BI, Excel, and analytical tools

• Automate reporting and analysis using Python, SQL, or R

• Prepare materials for ERM committees, executive leadership, and Board-level reporting

• Collaborate cross-functionally with underwriting, actuarial, finance, compliance, audit, and IT teams

What We’re Looking For

• 3-5+ years of experience in enterprise risk, operational risk, insurance risk, or financial risk

• Experience in both quantitative and qualitative risk disciplines

• Hands-on exposure to RCSAs, ORSA, incident management, and Top Risk Assessments

• Understanding of capital adequacy, RBC, stress testing, and reinsurance structures

• Strong analytical, documentation, and communication skills

• Proficiency in Power BI, advanced Excel, Python, SQL, or R

• Bachelor’s degree required

• Experience applying AI or advanced analytics tools in risk environments is a plus